International Business Machines Corporation

Sanjay Mukund Joshi

Marc Adam Kaplan

Pradeep Kumar Dubey

Gregory Richard Hintermeister

Roland Barcia

Techniques for refreshing application instances periodically based on a refresh rate parameter, providing enhanced health and stability for instances actively executing workloads. When a workload is received requesting one or more application instance(s), a refresh rate is determined, and the instance(s) are monitored. Periodically, based on the refresh rate, the monitored application instance(s) are refreshed. One or more instance(s) are identified for refreshing, one or more new replacement instance(s) are generated, and the identified instances are removed from active service and decommissioned. Workloads continue execution upon the newly generated instances, which are in turn monitored and refreshed as dictated by the refresh rate.

Enhanced healing and scalability of cloud environment app instances through continuous instance regeneration

The present invention involves a method for generating a partial Cyclic Redundancy Checking (CRC) value of a first interval of data in a digital data stream. The method includes the step of loading a precomputed CRC value corresponding to a one bit followed by a predetermined number of zeros. The predetermined number of zeros correspond to the number of digits of a polynomial minus one. The first interval of data is partitioned into a plurality of bits. The precomputed CRC value corresponding to the one bit followed by the predetermined number of zeros is enabled, for each of the plurality of bits having a value of one. The enabled, precomputed CRC values are combined to generate the partial CRC value of the first interval of data. Advantageously, multiple copies of the process may be executed in parallel to achieve a large speed-up.

Parallel system and method for cyclic redundancy checking (CRC) generation

An improved CRC generation mechanism for generating a CRC value of relevant data in a digital data stream is disclosed wherein relevant data in the data stream is identified and partitioned into a plurality of intervals. A CRC value is determined for each interval by partitioning the interval into a plurality of chunks, loading from persistent storage a table of CRC values for a range of chunks, determining a CRC value for each of the chunks with parallel table lookup operations on the table, and combining the CRC values for the chunks. The CRC values for each of the intervals is combined to generate the CRC for the relevant data. The parallel table look operation is preferably a vector permute instruction that is executed by a SIMD-style vector unit.

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Baltimore, MD, United States of America

Sanjay Mukund Joshi